James Foulds
TitleCited byYear
A review of multi-instance learning assumptions
J Foulds, E Frank
The Knowledge Engineering Review 25 (1), 1-25, 2010
2392010
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation
J Foulds, L Boyles, C DuBois, P Smyth, M Welling
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
1052013
Collective spammer detection in evolving multi-relational social networks
S Fakhraei, J Foulds, M Shashanka, L Getoor
Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015
702015
Hyper: A flexible and extensible probabilistic framework for hybrid recommender systems
P Kouki, S Fakhraei, J Foulds, M Eirinaki, L Getoor
Proceedings of the 9th ACM Conference on Recommender Systems, 99-106, 2015
692015
Joint models of disagreement and stance in online debate
D Sridhar, J Foulds, B Huang, L Getoor, M Walker
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
692015
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
X He, T Rekatsinas, J Foulds, L Getoor, Y Liu
ICML, 2015
602015
Latent set models for two-mode network data
C DuBois, J Foulds, P Smyth
Fifth International AAAI Conference on Weblogs and Social Media, 2011
582011
A dynamic relational infinite feature model for longitudinal social networks
J Foulds, C DuBois, A Asuncion, C Butts, P Smyth
Proceedings of the Fourteenth International Conference on Artificial …, 2011
572011
Weakly supervised models of aspect-sentiment for online course discussion forums
A Ramesh, SH Kumar, J Foulds, L Getoor
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
402015
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis
J Foulds, J Geumlek, M Welling, K Chaudhuri
Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence …, 2016
382016
Revisiting multiple-instance learning via embedded instance selection
J Foulds, E Frank
Australasian Joint Conference on Artificial Intelligence, 300-310, 2008
302008
Learning instance weights in multi-instance learning
JR Foulds
The University of Waikato, 2008
292008
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
J Foulds, SH Kumar, L Getoor
Proceedings of The 32nd International Conference on Machine Learning, 777-786, 2015
222015
Dense distributions from sparse samples: improved gibbs sampling parameter estimators for LDA
Y Papanikolaou, JR Foulds, TN Rubin, G Tsoumakas
The Journal of Machine Learning Research 18 (1), 2058-2115, 2017
212017
Modeling scientific impact with topical influence regression
J Foulds, P Smyth
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
172013
Multi-instance mixture models and semi-supervised learning
J Foulds, P Smyth
Proceedings of the 2011 SIAM International Conference on Data Mining, 606-617, 2011
162011
Revisiting MAP estimation, message passing and perfect graphs
J Foulds, N Navaroli, P Smyth, A Ihler
Proceedings of the Fourteenth International Conference on Artificial …, 2011
132011
Speeding up and boosting diverse density learning
JR Foulds, E Frank
International Conference on Discovery Science, 102-116, 2010
132010
Variational bayes in private settings (vips)
M Park, J Foulds, K Chaudhuri, M Welling
arXiv preprint arXiv:1611.00340, 2016
122016
Relly: Inferring hypernym relationships between relational phrases
A Grycner, G Weikum, J Pujara, J Foulds, L Getoor
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
122015
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Articles 1–20